Jędrzej Potoniec
Geciteerd door
Geciteerd door
Pattern based feature construction in semantic data mining
A Ławrynowicz, J Potoniec
International Journal on Semantic Web and Information Systems (IJSWIS) 10 (1 …, 2014
Fr-ONT: An algorithm for frequent concept mining with formal ontologies
A Ławrynowicz, J Potoniec
International Symposium on Methodologies for Intelligent Systems, 428-437, 2011
Rmonto: ontological extension to rapidminer
J Potoniec, A Lawrynowicz
10th International Semantic Web Conference 111, 2011
Swift Linked Data Miner: Mining OWL 2 EL class expressions directly from online RDF datasets
J Potoniec, P Jakubowski, A Ławrynowicz
Journal of Web Semantics 46, 31-50, 2017
Competency questions and SPARQL-OWL queries dataset and analysis
D Wisniewski, J Potoniec, A Lawrynowicz, CM Keet
arXiv preprint arXiv:1811.09529, 2018
Analysis of Ontology Competency Questions and their formalizations in SPARQL-OWL
D Wiśniewski, J Potoniec, A Ławrynowicz, CM Keet
Journal of Web Semantics 59, 100534, 2019
Discovery of emerging design patterns in ontologies using tree mining
A Ławrynowicz, J Potoniec, M Robaczyk, T Tudorache
Semantic web 9 (4), 517-544, 2018
Combining ontology class expression generation with mathematical modeling for ontology learning
J Potoniec, A Ławrynowicz
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
Asparagus-a system for automatic sparql query results aggregation using semantics
A Ławrynowicz, J Potoniec, Ł Konieczny, M Madziar, A Nowak, KT Pawlak
International Conference on Computational Collective Intelligence, 304-313, 2011
An On-Line Learning to Query System.
J Potoniec
International Semantic Web Conference (Posters & Demos), 2016
Towards Combining Machine Learning with Attribute Exploration for Ontology Refinement
J Potoniec, S Rudolph, A Lawrynowicz
ISWC 2014 Posters & Demonstrations Track, 229-232, 2014
Extracting Usage Patterns of Ontologies on the Web: a Case Study on GoodRelations Vocabulary in RDFa
E Kowalczuk, J Potoniec, A Ławrynowicz
11th OWL: Experiences and Directions Workshop (OWLED), 2014
Dataset of ontology competency questions to SPARQL-OWL queries translations
J Potoniec, D Wiśniewski, A Ławrynowicz, CM Keet
Data in brief 29, 105098, 2020
A Protege Plugin with Swift Linked Data Miner.
J Potoniec, A Lawrynowicz
International Semantic Web Conference (Posters & Demos), 2016
Not-So-Linked Solution to the Linked Data Mining Challenge 2016.
J Potoniec
(KNOW@ LOD/CoDeS)@ ESWC, 2016
Towards ontology refinement by combination of machine learning and attribute exploration
J Potoniec
International Conference on Knowledge Engineering and Knowledge Management …, 2014
RMonto-towards KDD workflows for ontology-based data mining
J Potoniec, A Lawrynowicz
Planning to Learn and Service-Oriented Knowledge Discovery Workshop, 11-16, 2011
Mining Cardinality Restrictions in OWL
J Potoniec
Foundations of Computing and Decision Sciences 45 (3), 195-216, 2020
Learning OWL 2 Property Characteristics as an Explanation for an RNN
J Potoniec
Bulletin of the Polish Academy of Sciences: Technical Sciences, 1481-1490, 2020
Learning SPARQL Queries from Expected Results
J Potoniec
Computing and Informatics 38 (3), 679-700, 2019
Het systeem kan de bewerking nu niet uitvoeren. Probeer het later opnieuw.
Artikelen 1–20